Overview

Brought to you by YData

Dataset statistics

Number of variables	22
Number of observations	223
Missing cells	9
Missing cells (%)	0.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	37.7 KiB
Average record size in memory	173.2 B

Variable types

Text	2
Numeric	8
DateTime	4
Categorical	6
Unsupported	2

Alerts

`Buy Hour` is highly overall correlated with `Buy Interval`	High correlation
`Buy Interval` is highly overall correlated with `Buy Hour`	High correlation
`Buy price` is highly overall correlated with `Buy value` and 4 other fields	High correlation
`Buy value` is highly overall correlated with `Buy price` and 3 other fields	High correlation
`Industry` is highly overall correlated with `Buy price` and 3 other fields	High correlation
`Quantity` is highly overall correlated with `Buy value` and 1 other fields	High correlation
`Realised P&L` is highly overall correlated with `Remark`	High correlation
`Remark` is highly overall correlated with `Realised P&L`	High correlation
`Sector` is highly overall correlated with `Industry` and 1 other fields	High correlation
`Sell Hour` is highly overall correlated with `Sell Interval`	High correlation
`Sell Interval` is highly overall correlated with `Sell Hour`	High correlation
`Sell price` is highly overall correlated with `Buy price` and 4 other fields	High correlation
`Sell value` is highly overall correlated with `Buy price` and 3 other fields	High correlation
`Symbol` is highly overall correlated with `Buy price` and 3 other fields	High correlation
`Buy Interval` has 8 (3.6%) missing values	Missing
`Buy Time` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`Sell Time` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2025-11-08 10:51:10.819963
Analysis finished	2025-11-08 10:51:15.900054
Duration	5.08 seconds
Software version	ydata-profiling vv4.17.0
Download configuration	config.json

Stock name
Text

Distinct	53
Distinct (%)	23.8%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Length

Max length	25
Median length	23
Mean length	20.784753
Min length	8

Characters and Unicode

Total characters	4635
Distinct characters	34
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	9.9%

Sample

1st row	ONE 97 COMMUNICATIONS LTD
2nd row	INDIAN OIL CORP LTD
3rd row	COAL INDIA LTD
4th row	ETERNAL LIMITED
5th row	COAL INDIA LTD

Value	Count	Frequency (%)
ltd	118	15.7%
limited	68	9.0%
bank	55	7.3%
indusind	35	4.6%
industries	31	4.1%
india	26	3.5%
corp	22	2.9%
reliance	21	2.8%
coal	20	2.7%
oil	12	1.6%
Other values (98)	345	45.8%

Most occurring characters

Value	Count	Frequency (%)
	551	11.9%
I	532	11.5%
N	394	8.5%
D	390	8.4%
T	350	7.6%
A	349	7.5%
L	340	7.3%
E	265	5.7%
R	208	4.5%
S	188	4.1%
Other values (24)	1068	23.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4635	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	551	11.9%
I	532	11.5%
N	394	8.5%
D	390	8.4%
T	350	7.6%
A	349	7.5%
L	340	7.3%
E	265	5.7%
R	208	4.5%
S	188	4.1%
Other values (24)	1068	23.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4635	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	551	11.9%
I	532	11.5%
N	394	8.5%
D	390	8.4%
T	350	7.6%
A	349	7.5%
L	340	7.3%
E	265	5.7%
R	208	4.5%
S	188	4.1%
Other values (24)	1068	23.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4635	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	551	11.9%
I	532	11.5%
N	394	8.5%
D	390	8.4%
T	350	7.6%
A	349	7.5%
L	340	7.3%
E	265	5.7%
R	208	4.5%
S	188	4.1%
Other values (24)	1068	23.0%

ISIN
Text

Distinct	53
Distinct (%)	23.8%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	2676
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	9.9%

Sample

1st row	INE982J01020
2nd row	INE242A01010
3rd row	INE522F01014
4th row	INE758T01015
5th row	INE522F01014

Value	Count	Frequency (%)
ine095a01012	35	15.7%
ine002a01018	21	9.4%
ine522f01014	20	9.0%
ine038a01020	10	4.5%
ine040a01034	9	4.0%
ine775a01035	9	4.0%
ine463a01038	8	3.6%
ine982j01020	8	3.6%
ine213a01029	7	3.1%
ine160a01022	7	3.1%
Other values (43)	89	39.9%

Most occurring characters

Value	Count	Frequency (%)
0	627	23.4%
1	391	14.6%
E	234	8.7%
N	225	8.4%
I	225	8.4%
2	221	8.3%
A	149	5.6%
3	107	4.0%
5	93	3.5%
9	82	3.1%
Other values (18)	322	12.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2676	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	627	23.4%
1	391	14.6%
E	234	8.7%
N	225	8.4%
I	225	8.4%
2	221	8.3%
A	149	5.6%
3	107	4.0%
5	93	3.5%
9	82	3.1%
Other values (18)	322	12.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2676	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	627	23.4%
1	391	14.6%
E	234	8.7%
N	225	8.4%
I	225	8.4%
2	221	8.3%
A	149	5.6%
3	107	4.0%
5	93	3.5%
9	82	3.1%
Other values (18)	322	12.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2676	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	627	23.4%
1	391	14.6%
E	234	8.7%
N	225	8.4%
I	225	8.4%
2	221	8.3%
A	149	5.6%
3	107	4.0%
5	93	3.5%
9	82	3.1%
Other values (18)	322	12.0%

Quantity
Real number (ℝ)

High correlation

Distinct	25
Distinct (%)	11.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.852018

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	9
Q3	10
95-th percentile	37.2
Maximum	100
Range	99
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	13.967484
Coefficient of variation (CV)	1.2870864
Kurtosis	18.741523
Mean	10.852018
Median Absolute Deviation (MAD)	4
Skewness	3.8727477
Sum	2420
Variance	195.09062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
10	63	28.3%
5	35	15.7%
1	19	8.5%
3	18	8.1%
2	17	7.6%
15	11	4.9%
4	11	4.9%
20	11	4.9%
25	6	2.7%
7	5	2.2%
Other values (15)	27	12.1%

Value	Count	Frequency (%)
1	19	8.5%
2	17	7.6%
3	18	8.1%
4	11	4.9%
5	35	15.7%
6	3	1.3%
7	5	2.2%
8	3	1.3%
9	3	1.3%
10	63	28.3%

Value	Count	Frequency (%)
100	1	0.4%
98	1	0.4%
90	1	0.4%
55	1	0.4%
52	1	0.4%
50	4	1.8%
40	2	0.9%
38	1	0.4%
30	2	0.9%
25	6	2.7%

Buy date
Date

Distinct	106
Distinct (%)	47.5%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Minimum	2021-11-25 00:00:00
Maximum	2025-06-11 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Buy price
Real number (ℝ)

High correlation

Distinct	204
Distinct (%)	91.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	883.4883

Minimum	0
Maximum	5466
Zeros	2
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	0
5-th percentile	46.205
Q1	199.2
median	644.9
Q3	1400.3
95-th percentile	2949.22
Maximum	5466
Range	5466
Interquartile range (IQR)	1201.1

Descriptive statistics

Standard deviation	897.43688
Coefficient of variation (CV)	1.0157881
Kurtosis	3.0833722
Mean	883.4883
Median Absolute Deviation (MAD)	456.65
Skewness	1.6279947
Sum	197017.89
Variance	805392.95
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
206.61	4	1.8%
2586.1	3	1.3%
0	2	0.9%
69.2	2	0.9%
300	2	0.9%
842.55	2	0.9%
34.8	2	0.9%
2983.55	2	0.9%
103.45	2	0.9%
972.48	2	0.9%
Other values (194)	200	89.7%

Value	Count	Frequency (%)
0	2	0.9%
25.75	1	0.4%
34.8	2	0.9%
34.9	1	0.4%
35.73	1	0.4%
35.8	1	0.4%
36.13	1	0.4%
36.29	1	0.4%
42.66	1	0.4%
43.65	1	0.4%

Value	Count	Frequency (%)
5466	1	0.4%
2984	1	0.4%
2983.55	2	0.9%
2976.85	1	0.4%
2968.07	1	0.4%
2963	1	0.4%
2961.9	1	0.4%
2953.35	1	0.4%
2952.65	1	0.4%
2951.65	1	0.4%

Buy value
Real number (ℝ)

High correlation

Distinct	213
Distinct (%)	95.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6498.1119

Minimum	0
Maximum	32465
Zeros	2
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	0
5-th percentile	204.639
Q1	1448.01
median	4212.75
Q3	9742.75
95-th percentile	15747
Maximum	32465
Range	32465
Interquartile range (IQR)	8294.74

Descriptive statistics

Standard deviation	6816.556
Coefficient of variation (CV)	1.0490056
Kurtosis	2.9175898
Mean	6498.1119
Median Absolute Deviation (MAD)	3328.45
Skewness	1.6418129
Sum	1449079
Variance	46465435
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5172.2	2	0.9%
4212.75	2	0.9%
0	2	0.9%
605	2	0.9%
346	2	0.9%
15000	2	0.9%
139.2	2	0.9%
22245	2	0.9%
2013.5	2	0.9%
5813.6	2	0.9%
Other values (203)	203	91.0%

Value	Count	Frequency (%)
0	2	0.9%
72.45	1	0.4%
108.87	1	0.4%
139.2	2	0.9%
178.65	1	0.4%
183.5	1	0.4%
190.6	1	0.4%
195.5	1	0.4%
196.5	1	0.4%
204.42	1	0.4%

Value	Count	Frequency (%)
32465	1	0.4%
29768.5	1	0.4%
29630	1	0.4%
29516.5	1	0.4%
29422	1	0.4%
29337.6	1	0.4%
29252.5	1	0.4%
29172.5	1	0.4%
22245	2	0.9%
21300	1	0.4%

Sell date
Date

Distinct	100
Distinct (%)	44.8%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Minimum	2021-11-25 00:00:00
Maximum	2025-09-17 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Sell price
Real number (ℝ)

High correlation

Distinct	189
Distinct (%)	84.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	885.82327

Minimum	27.64
Maximum	5085.25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	27.64
5-th percentile	75.12
Q1	200.025
median	649.5
Q3	1416
95-th percentile	2933.427
Maximum	5085.25
Range	5057.61
Interquartile range (IQR)	1215.975

Descriptive statistics

Standard deviation	867.80596
Coefficient of variation (CV)	0.97966037
Kurtosis	2.5898262
Mean	885.82327
Median Absolute Deviation (MAD)	462.51
Skewness	1.5399956
Sum	197538.59
Variance	753087.18
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
86.85	4	1.8%
215	4	1.8%
167.3	4	1.8%
192.4	3	1.3%
239.3	3	1.3%
1732.2	3	1.3%
82.25	2	0.9%
255.35	2	0.9%
1036.45	2	0.9%
34.15	2	0.9%
Other values (179)	194	87.0%

Value	Count	Frequency (%)
27.64	1	0.4%
34.15	2	0.9%
35.44	1	0.4%
35.95	2	0.9%
36.31	1	0.4%
41.15	2	0.9%
42.83	1	0.4%
72.6	1	0.4%
74.85	1	0.4%
77.55	1	0.4%

Value	Count	Frequency (%)
5085.25	1	0.4%
3007.9	1	0.4%
2983.3	1	0.4%
2969.95	1	0.4%
2956.3	1	0.4%
2955.05	1	0.4%
2954.85	1	0.4%
2951.3	1	0.4%
2946.2	1	0.4%
2939.65	1	0.4%

Sell value
Real number (ℝ)

High correlation

Distinct	212
Distinct (%)	95.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6635.1498

Minimum	72.6
Maximum	32439
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	72.6
5-th percentile	295.582
Q1	1434.75
median	4411.4
Q3	9948.375
95-th percentile	20987.35
Maximum	32439
Range	32366.4
Interquartile range (IQR)	8513.625

Descriptive statistics

Standard deviation	6900.0468
Coefficient of variation (CV)	1.0399233
Kurtosis	2.6308362
Mean	6635.1498
Median Absolute Deviation (MAD)	3498.35
Skewness	1.6007746
Sum	1479638.4
Variance	47610646
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
962	3	1.3%
836.5	3	1.3%
215	2	0.9%
868.5	2	0.9%
341.5	2	0.9%
14160	2	0.9%
411.25	2	0.9%
6749.2	2	0.9%
12472.5	2	0.9%
5182.25	1	0.4%
Other values (202)	202	90.6%

Value	Count	Frequency (%)
72.6	1	0.4%
123.45	1	0.4%
141.76	1	0.4%
143.8	1	0.4%
163.45	1	0.4%
179.75	1	0.4%
183.9	1	0.4%
186.75	1	0.4%
191.45	1	0.4%
215	2	0.9%

Value	Count	Frequency (%)
32439	1	0.4%
29833	1	0.4%
29699.5	1	0.4%
29396.5	1	0.4%
29371.3	1	0.4%
29274.5	1	0.4%
29140.5	1	0.4%
29125	1	0.4%
22125.75	1	0.4%
22022	1	0.4%

Realised P&L
Real number (ℝ)

High correlation

Distinct	208
Distinct (%)	93.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	137.03785

Minimum	-2329.4
Maximum	7202
Zeros	2
Zeros (%)	0.9%
Negative	113
Negative (%)	50.7%
Memory size	3.5 KiB

Quantile statistics

Minimum	-2329.4
5-th percentile	-296.2
Q1	-42.235
median	-0.6
Q3	51.15
95-th percentile	1106.69
Maximum	7202
Range	9531.4
Interquartile range (IQR)	93.385

Descriptive statistics

Standard deviation	788.98855
Coefficient of variation (CV)	5.75745
Kurtosis	38.482362
Mean	137.03785
Median Absolute Deviation (MAD)	46.9
Skewness	5.2146127
Sum	30559.44
Variance	622502.93
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-33	3	1.3%
18.5	2	0.9%
-20.5	2	0.9%
0.25	2	0.9%
2.25	2	0.9%
-3	2	0.9%
-6	2	0.9%
0	2	0.9%
21.6	2	0.9%
6.5	2	0.9%
Other values (198)	202	90.6%

Value	Count	Frequency (%)
-2329.4	1	0.4%
-1163.85	1	0.4%
-1026.75	1	0.4%
-1017	1	0.4%
-877	1	0.4%
-456.25	1	0.4%
-439	1	0.4%
-380.75	1	0.4%
-378.16	1	0.4%
-337	1	0.4%

Value	Count	Frequency (%)
7202	1	0.4%
5196.6	1	0.4%
3565	1	0.4%
2970	1	0.4%
2700	1	0.4%
2149.5	1	0.4%
1876	1	0.4%
1752.8	1	0.4%
1302.75	1	0.4%
1215	1	0.4%

Remark
Categorical

High correlation

Distinct	4
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Intraday trade	143
Delivery Trade	70
New shares credit from IPO	8
New shares credit from Bonus	2

Length

Max length	28
Median length	14
Mean length	14.556054
Min length	14

Characters and Unicode

Total characters	3246
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Intraday trade
2nd row	Delivery Trade
3rd row	Delivery Trade
4th row	Intraday trade
5th row	Delivery Trade

Common Values

Value	Count	Frequency (%)
Intraday trade	143	64.1%
Delivery Trade	70	31.4%
New shares credit from IPO	8	3.6%
New shares credit from Bonus	2	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
trade	213	44.7%
intraday	143	30.0%
delivery	70	14.7%
new	10	2.1%
shares	10	2.1%
credit	10	2.1%
from	10	2.1%
ipo	8	1.7%
bonus	2	0.4%

Most occurring characters

Value	Count	Frequency (%)
a	509	15.7%
r	456	14.0%
e	383	11.8%
d	366	11.3%
t	296	9.1%
	253	7.8%
y	213	6.6%
I	151	4.7%
n	145	4.5%
i	80	2.5%
Other values (16)	394	12.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3246	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	509	15.7%
r	456	14.0%
e	383	11.8%
d	366	11.3%
t	296	9.1%
	253	7.8%
y	213	6.6%
I	151	4.7%
n	145	4.5%
i	80	2.5%
Other values (16)	394	12.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3246	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	509	15.7%
r	456	14.0%
e	383	11.8%
d	366	11.3%
t	296	9.1%
	253	7.8%
y	213	6.6%
I	151	4.7%
n	145	4.5%
i	80	2.5%
Other values (16)	394	12.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3246	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	509	15.7%
r	456	14.0%
e	383	11.8%
d	366	11.3%
t	296	9.1%
	253	7.8%
y	213	6.6%
I	151	4.7%
n	145	4.5%
i	80	2.5%
Other values (16)	394	12.1%

Buy Time
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Sell Time
Unsupported

Rejected Unsupported

Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Symbol
Categorical

High correlation

Distinct	16
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Others	63
INDUSINDBK	35
RELIANCE	21
COALINDIA	20
HINDALCO	10
Other values (11)	74

Length

Max length	10
Median length	9
Mean length	7.4977578
Min length	3

Characters and Unicode

Total characters	1672
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PAYTM
2nd row	IOC
3rd row	COALINDIA
4th row	Others
5th row	COALINDIA

Common Values

Value	Count	Frequency (%)
Others	63	28.3%
INDUSINDBK	35	15.7%
RELIANCE	21	9.4%
COALINDIA	20	9.0%
HINDALCO	10	4.5%
HDFCBANK	9	4.0%
MOTHERSON	9	4.0%
PAYTM	8	3.6%
BERGEPAINT	8	3.6%
BAJAJHIND	7	3.1%
Other values (6)	33	14.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
others	63	28.3%
indusindbk	35	15.7%
reliance	21	9.4%
coalindia	20	9.0%
hindalco	10	4.5%
hdfcbank	9	4.0%
motherson	9	4.0%
paytm	8	3.6%
bergepaint	8	3.6%
bajajhind	7	3.1%
Other values (6)	33	14.8%

Most occurring characters

Value	Count	Frequency (%)
I	175	10.5%
N	172	10.3%
A	130	7.8%
O	123	7.4%
D	120	7.2%
B	72	4.3%
C	72	4.3%
E	71	4.2%
L	69	4.1%
t	63	3.8%
Other values (16)	605	36.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1672	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	175	10.5%
N	172	10.3%
A	130	7.8%
O	123	7.4%
D	120	7.2%
B	72	4.3%
C	72	4.3%
E	71	4.2%
L	69	4.1%
t	63	3.8%
Other values (16)	605	36.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1672	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	175	10.5%
N	172	10.3%
A	130	7.8%
O	123	7.4%
D	120	7.2%
B	72	4.3%
C	72	4.3%
E	71	4.2%
L	69	4.1%
t	63	3.8%
Other values (16)	605	36.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1672	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	175	10.5%
N	172	10.3%
A	130	7.8%
O	123	7.4%
D	120	7.2%
B	72	4.3%
C	72	4.3%
E	71	4.2%
L	69	4.1%
t	63	3.8%
Other values (16)	605	36.2%

Sector
Categorical

High correlation

Distinct	12
Distinct (%)	5.4%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Financial Services	66
Energy	55
Basic Materials	29
Technology	16
Consumer Defensive	12
Other values (7)	45

Length

Max length	22
Median length	18
Mean length	13.161435
Min length	6

Characters and Unicode

Total characters	2935
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.4%

Sample

1st row	Technology
2nd row	Energy
3rd row	Energy
4th row	Consumer Cyclical
5th row	Energy

Common Values

Value	Count	Frequency (%)
Financial Services	66	29.6%
Energy	55	24.7%
Basic Materials	29	13.0%
Technology	16	7.2%
Consumer Defensive	12	5.4%
Consumer Cyclical	11	4.9%
Utilities	9	4.0%
Communication Services	8	3.6%
Industrials	7	3.1%
Healthcare	5	2.2%
Other values (2)	5	2.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
services	74	21.1%
financial	66	18.9%
energy	55	15.7%
basic	29	8.3%
materials	29	8.3%
consumer	23	6.6%
technology	16	4.6%
defensive	12	3.4%
cyclical	11	3.1%
utilities	9	2.6%
Other values (6)	26	7.4%

Most occurring characters

Value	Count	Frequency (%)
i	337	11.5%
e	332	11.3%
n	261	8.9%
a	257	8.8%
c	220	7.5%
r	197	6.7%
s	195	6.6%
l	155	5.3%
	127	4.3%
v	86	2.9%
Other values (22)	768	26.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2935	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	337	11.5%
e	332	11.3%
n	261	8.9%
a	257	8.8%
c	220	7.5%
r	197	6.7%
s	195	6.6%
l	155	5.3%
	127	4.3%
v	86	2.9%
Other values (22)	768	26.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2935	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	337	11.5%
e	332	11.3%
n	261	8.9%
a	257	8.8%
c	220	7.5%
r	197	6.7%
s	195	6.6%
l	155	5.3%
	127	4.3%
v	86	2.9%
Other values (22)	768	26.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2935	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	337	11.5%
e	332	11.3%
n	261	8.9%
a	257	8.8%
c	220	7.5%
r	197	6.7%
s	195	6.6%
l	155	5.3%
	127	4.3%
v	86	2.9%
Other values (22)	768	26.2%

Industry
Categorical

High correlation

Distinct	16
Distinct (%)	7.2%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Banks - Regional	55
Others	38
Oil & Gas Refining & Marketing	28
Thermal Coal	20
Aluminum	10
Other values (11)	72

Length

Max length	40
Median length	25
Mean length	15.910314
Min length	5

Characters and Unicode

Total characters	3548
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Software - Infrastructure
2nd row	Oil & Gas Refining & Marketing
3rd row	Thermal Coal
4th row	Others
5th row	Thermal Coal

Common Values

Value	Count	Frequency (%)
Banks - Regional	55	24.7%
Others	38	17.0%
Oil & Gas Refining & Marketing	28	12.6%
Thermal Coal	20	9.0%
Aluminum	10	4.5%
Software - Infrastructure	9	4.0%
Auto Parts	9	4.0%
Steel	8	3.6%
Specialty Chemicals	8	3.6%
Oil & Gas Integrated	7	3.1%
Other values (6)	31	13.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	143	23.8%
banks	55	9.2%
regional	55	9.2%
others	38	6.3%
oil	35	5.8%
gas	35	5.8%
refining	28	4.7%
marketing	28	4.7%
thermal	20	3.3%
coal	20	3.3%
Other values (21)	144	24.0%

Most occurring characters

Value	Count	Frequency (%)
	378	10.7%
e	341	9.6%
a	283	8.0%
i	249	7.0%
n	246	6.9%
s	189	5.3%
r	187	5.3%
l	186	5.2%
t	178	5.0%
g	126	3.6%
Other values (28)	1185	33.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3548	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	378	10.7%
e	341	9.6%
a	283	8.0%
i	249	7.0%
n	246	6.9%
s	189	5.3%
r	187	5.3%
l	186	5.2%
t	178	5.0%
g	126	3.6%
Other values (28)	1185	33.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3548	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	378	10.7%
e	341	9.6%
a	283	8.0%
i	249	7.0%
n	246	6.9%
s	189	5.3%
r	187	5.3%
l	186	5.2%
t	178	5.0%
g	126	3.6%
Other values (28)	1185	33.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3548	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	378	10.7%
e	341	9.6%
a	283	8.0%
i	249	7.0%
n	246	6.9%
s	189	5.3%
r	187	5.3%
l	186	5.2%
t	178	5.0%
g	126	3.6%
Other values (28)	1185	33.4%

Buy Month
Date

Distinct	27
Distinct (%)	12.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Minimum	2021-11-01 00:00:00
Maximum	2025-06-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=27)

Sell Month
Date

Distinct	27
Distinct (%)	12.1%
Missing	0
Missing (%)	0.0%
Memory size	3.5 KiB

Minimum	2021-11-01 00:00:00
Maximum	2025-09-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=27)

Buy Hour
Real number (ℝ)

High correlation

Distinct	121
Distinct (%)	54.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.969581

Minimum	9.25
Maximum	15.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	9.25
5-th percentile	9.2833333
Q1	9.925
median	11.733333
Q3	13.891667
95-th percentile	15.481667
Maximum	15.5
Range	6.25
Interquartile range (IQR)	3.9666667

Descriptive statistics

Standard deviation	2.1389999
Coefficient of variation (CV)	0.17870298
Kurtosis	-1.2788063
Mean	11.969581
Median Absolute Deviation (MAD)	1.9166667
Skewness	0.32307033
Sum	2669.2167
Variance	4.5753205
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.283333333	9	4.0%
9.25	8	3.6%
15.5	8	3.6%
9.316666667	5	2.2%
15.26666667	5	2.2%
13.4	5	2.2%
9.816666667	4	1.8%
11.78333333	4	1.8%
15.48333333	4	1.8%
9.583333333	4	1.8%
Other values (111)	167	74.9%

Value	Count	Frequency (%)
9.25	8	3.6%
9.283333333	9	4.0%
9.316666667	5	2.2%
9.35	2	0.9%
9.383333333	1	0.4%
9.416666667	3	1.3%
9.433333333	1	0.4%
9.483333333	1	0.4%
9.5	2	0.9%
9.516666667	3	1.3%

Value	Count	Frequency (%)
15.5	8	3.6%
15.48333333	4	1.8%
15.46666667	1	0.4%
15.4	1	0.4%
15.36666667	1	0.4%
15.35	3	1.3%
15.33333333	2	0.9%
15.31666667	2	0.9%
15.26666667	5	2.2%
15.25	1	0.4%

Sell Hour
Real number (ℝ)

High correlation

Distinct	125
Distinct (%)	56.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.726607

Minimum	9.25
Maximum	15.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.5 KiB

Quantile statistics

Minimum	9.25
5-th percentile	9.65
Q1	11.216667
median	12.75
Q3	14.533333
95-th percentile	15.283333
Maximum	15.5
Range	6.25
Interquartile range (IQR)	3.3166667

Descriptive statistics

Standard deviation	1.8687079
Coefficient of variation (CV)	0.14683473
Kurtosis	-1.1905668
Mean	12.726607
Median Absolute Deviation (MAD)	1.7
Skewness	-0.18423732
Sum	2838.0333
Variance	3.4920692
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.75	9	4.0%
13.9	4	1.8%
15.05	4	1.8%
12	4	1.8%
11.8	4	1.8%
12.76666667	4	1.8%
10.98333333	4	1.8%
9.65	4	1.8%
15.1	4	1.8%
15.16666667	4	1.8%
Other values (115)	178	79.8%

Value	Count	Frequency (%)
9.25	1	0.4%
9.35	1	0.4%
9.366666667	3	1.3%
9.433333333	1	0.4%
9.45	1	0.4%
9.533333333	2	0.9%
9.566666667	1	0.4%
9.65	4	1.8%
9.666666667	1	0.4%
9.733333333	2	0.9%

Value	Count	Frequency (%)
15.5	1	0.4%
15.41666667	1	0.4%
15.4	3	1.3%
15.38333333	2	0.9%
15.31666667	2	0.9%
15.3	1	0.4%
15.28333333	3	1.3%
15.25	1	0.4%
15.21666667	2	0.9%
15.2	1	0.4%

Buy Interval
Categorical

High correlation Missing

Distinct	7
Distinct (%)	3.3%
Missing	8
Missing (%)	3.6%
Memory size	2.3 KiB

09:00–10:00	57
11:00–12:00	35
10:00–11:00	32
15:00–15:30	27
12:00–13:00	24
Other values (2)	40

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	2365
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	09:00–10:00
2nd row	10:00–11:00
3rd row	09:00–10:00
4th row	13:00–14:00
5th row	10:00–11:00

Common Values

Value	Count	Frequency (%)
09:00–10:00	57	25.6%
11:00–12:00	35	15.7%
10:00–11:00	32	14.3%
15:00–15:30	27	12.1%
12:00–13:00	24	10.8%
13:00–14:00	21	9.4%
14:00–15:00	19	8.5%
(Missing)	8	3.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
09:00–10:00	57	26.5%
11:00–12:00	35	16.3%
10:00–11:00	32	14.9%
15:00–15:30	27	12.6%
12:00–13:00	24	11.2%
13:00–14:00	21	9.8%
14:00–15:00	19	8.8%

Most occurring characters

Value	Count	Frequency (%)
0	979	41.4%
1	440	18.6%
:	430	18.2%
–	215	9.1%
5	73	3.1%
3	72	3.0%
2	59	2.5%
9	57	2.4%
4	40	1.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2365	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	979	41.4%
1	440	18.6%
:	430	18.2%
–	215	9.1%
5	73	3.1%
3	72	3.0%
2	59	2.5%
9	57	2.4%
4	40	1.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2365	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	979	41.4%
1	440	18.6%
:	430	18.2%
–	215	9.1%
5	73	3.1%
3	72	3.0%
2	59	2.5%
9	57	2.4%
4	40	1.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2365	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	979	41.4%
1	440	18.6%
:	430	18.2%
–	215	9.1%
5	73	3.1%
3	72	3.0%
2	59	2.5%
9	57	2.4%
4	40	1.7%

Sell Interval
Categorical

High correlation

Distinct	7
Distinct (%)	3.2%
Missing	1
Missing (%)	0.4%
Memory size	2.3 KiB

15:00–15:30	39
13:00–14:00	36
11:00–12:00	34
12:00–13:00	32
10:00–11:00	31
Other values (2)	50

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	2442
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	09:00–10:00
2nd row	11:00–12:00
3rd row	13:00–14:00
4th row	13:00–14:00
5th row	13:00–14:00

Common Values

Value	Count	Frequency (%)
15:00–15:30	39	17.5%
13:00–14:00	36	16.1%
11:00–12:00	34	15.2%
12:00–13:00	32	14.3%
10:00–11:00	31	13.9%
14:00–15:00	28	12.6%
09:00–10:00	22	9.9%
(Missing)	1	0.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
15:00–15:30	39	17.6%
13:00–14:00	36	16.2%
11:00–12:00	34	15.3%
12:00–13:00	32	14.4%
10:00–11:00	31	14.0%
14:00–15:00	28	12.6%
09:00–10:00	22	9.9%

Most occurring characters

Value	Count	Frequency (%)
0	924	37.8%
1	487	19.9%
:	444	18.2%
–	222	9.1%
3	107	4.4%
5	106	4.3%
2	66	2.7%
4	64	2.6%
9	22	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2442	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	924	37.8%
1	487	19.9%
:	444	18.2%
–	222	9.1%
3	107	4.4%
5	106	4.3%
2	66	2.7%
4	64	2.6%
9	22	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2442	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	924	37.8%
1	487	19.9%
:	444	18.2%
–	222	9.1%
3	107	4.4%
5	106	4.3%
2	66	2.7%
4	64	2.6%
9	22	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2442	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	924	37.8%
1	487	19.9%
:	444	18.2%
–	222	9.1%
3	107	4.4%
5	106	4.3%
2	66	2.7%
4	64	2.6%
9	22	0.9%

Interactions

Correlations

	Buy Hour	Buy Interval	Buy price	Buy value	Industry	Quantity	Realised P&L	Remark	Sector	Sell Hour	Sell Interval	Sell price	Sell value	Symbol
Buy Hour	1.000	0.861	-0.139	-0.078	0.324	-0.004	-0.037	0.288	0.206	0.246	0.196	-0.164	-0.100	0.317
Buy Interval	0.861	1.000	0.140	0.146	0.306	0.000	0.000	0.237	0.222	0.223	0.190	0.131	0.173	0.291
Buy price	-0.139	0.140	1.000	0.697	0.502	-0.201	-0.300	0.179	0.439	-0.131	0.060	0.973	0.668	0.535
Buy value	-0.078	0.146	0.697	1.000	0.254	0.514	-0.207	0.196	0.184	-0.138	0.034	0.674	0.986	0.306
Industry	0.324	0.306	0.502	0.254	1.000	0.000	0.000	0.254	0.759	0.244	0.270	0.533	0.255	0.830
Quantity	-0.004	0.000	-0.201	0.514	0.000	1.000	0.011	0.400	0.143	-0.041	0.041	-0.213	0.528	0.000
Realised P&L	-0.037	0.000	-0.300	-0.207	0.000	0.011	1.000	0.618	0.190	-0.026	0.113	-0.212	-0.139	0.000
Remark	0.288	0.237	0.179	0.196	0.254	0.400	0.618	1.000	0.195	0.271	0.145	0.217	0.314	0.281
Sector	0.206	0.222	0.439	0.184	0.759	0.143	0.190	0.195	1.000	0.184	0.182	0.412	0.226	0.628
Sell Hour	0.246	0.223	-0.131	-0.138	0.244	-0.041	-0.026	0.271	0.184	1.000	0.891	-0.152	-0.146	0.264
Sell Interval	0.196	0.190	0.060	0.034	0.270	0.041	0.113	0.145	0.182	0.891	1.000	0.132	0.094	0.263
Sell price	-0.164	0.131	0.973	0.674	0.533	-0.213	-0.212	0.217	0.412	-0.152	0.132	1.000	0.677	0.571
Sell value	-0.100	0.173	0.668	0.986	0.255	0.528	-0.139	0.314	0.226	-0.146	0.094	0.677	1.000	0.297
Symbol	0.317	0.291	0.535	0.306	0.830	0.000	0.000	0.281	0.628	0.264	0.263	0.571	0.297	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Stock name	ISIN	Quantity	Buy date	Buy price	Buy value	Sell date	Sell price	Sell value	Realised P&L	Remark	Buy Time	Sell Time	Symbol	Sector	Industry	Buy Month	Sell Month	Buy Hour	Sell Hour	Buy Interval	Sell Interval
0	ONE 97 COMMUNICATIONS LTD	INE982J01020	1	2021-11-25	1833.55	1833.55	2021-11-25	1823.00	1823.00	-10.55	Intraday trade	09:23:00	09:27:00	PAYTM	Technology	Software - Infrastructure	Nov-2021	Nov-2021	9.383333	9.450000	09:00–10:00	09:00–10:00
1	INDIAN OIL CORP LTD	INE242A01010	10	2022-05-30	114.40	1144.00	2023-05-18	86.85	868.50	-275.50	Delivery Trade	10:29:00	11:48:00	IOC	Energy	Oil & Gas Refining & Marketing	May-2022	May-2023	10.483333	11.800000	10:00–11:00	11:00–12:00
2	COAL INDIA LTD	INE522F01014	1	2022-06-02	195.50	195.50	2022-08-08	215.00	215.00	19.50	Delivery Trade	09:34:00	13:54:00	COALINDIA	Energy	Thermal Coal	Jun-2022	Aug-2022	9.566667	13.900000	09:00–10:00	13:00–14:00
3	ETERNAL LIMITED	INE758T01015	1	2022-06-03	72.45	72.45	2022-06-03	72.60	72.60	0.15	Intraday trade	13:12:00	13:07:00	Others	Consumer Cyclical	Others	Jun-2022	Jun-2022	13.200000	13.116667	13:00–14:00	13:00–14:00
4	COAL INDIA LTD	INE522F01014	1	2022-06-03	196.50	196.50	2022-08-08	215.00	215.00	18.50	Delivery Trade	10:32:00	13:54:00	COALINDIA	Energy	Thermal Coal	Jun-2022	Aug-2022	10.533333	13.900000	10:00–11:00	13:00–14:00
5	INDUSIND BANK LIMITED	INE095A01012	5	2022-06-08	921.50	4607.50	2022-08-05	1036.45	5182.25	574.75	Delivery Trade	10:13:00	15:23:00	INDUSINDBK	Financial Services	Banks - Regional	Jun-2022	Aug-2022	10.216667	15.383333	10:00–11:00	15:00–15:30
6	COAL INDIA LTD	INE522F01014	5	2022-06-09	198.65	993.25	2022-06-09	200.05	1000.25	7.00	Intraday trade	15:11:00	10:24:00	COALINDIA	Energy	Thermal Coal	Jun-2022	Jun-2022	15.183333	10.400000	15:00–15:30	10:00–11:00
7	INDUSIND BANK LIMITED	INE095A01012	2	2022-06-14	861.50	1723.00	2022-06-14	857.65	1715.30	-7.70	Intraday trade	10:34:00	10:41:00	INDUSINDBK	Financial Services	Banks - Regional	Jun-2022	Jun-2022	10.566667	10.683333	10:00–11:00	10:00–11:00
8	INDUSIND BANK LIMITED	INE095A01012	3	2022-06-14	855.00	2565.00	2022-06-14	857.65	2572.95	7.95	Intraday trade	10:34:00	10:41:00	INDUSINDBK	Financial Services	Banks - Regional	Jun-2022	Jun-2022	10.566667	10.683333	10:00–11:00	10:00–11:00
9	COAL INDIA LTD	INE522F01014	5	2022-06-14	192.50	962.50	2022-06-14	192.40	962.00	-0.50	Intraday trade	09:17:00	10:51:00	COALINDIA	Energy	Thermal Coal	Jun-2022	Jun-2022	9.283333	10.850000	09:00–10:00	10:00–11:00

	Stock name	ISIN	Quantity	Buy date	Buy price	Buy value	Sell date	Sell price	Sell value	Realised P&L	Remark	Buy Time	Sell Time	Symbol	Sector	Industry	Buy Month	Sell Month	Buy Hour	Sell Hour	Buy Interval	Sell Interval
214	NTPC LTD	INE733E01010	5	2024-09-23	429.70	2148.50	2024-11-28	362.30	1811.50	-337.00	Delivery Trade	10:42:00	14:16:00	Others	Utilities	Utilities - Regulated Electric	Sep-2024	Nov-2024	10.700000	14.266667	10:00–11:00	14:00–15:00
215	GLENMARK PHARMACEUTICALS	INE935A01035	5	2024-09-27	1689.40	8447.00	2024-09-27	1687.65	8438.25	-8.75	Intraday trade	11:53:00	12:20:00	Others	Healthcare	Drug Manufacturers - Specialty & Generic	Sep-2024	Sep-2024	11.883333	12.333333	11:00–12:00	12:00–13:00
216	NTPC GREEN ENERGY LIMITED	INE0ONG01011	100	2024-11-26	108.00	10800.00	2024-11-29	126.76	12676.00	1876.00	New shares credit from IPO	15:30:00	11:56:00	Others	Utilities	Others	Nov-2024	Nov-2024	15.500000	11.933333	NaN	11:00–12:00
217	NTPC GREEN ENERGY LIMITED	INE0ONG01011	38	2024-11-26	108.00	4104.00	2024-11-29	126.35	4801.30	697.30	New shares credit from IPO	15:30:00	11:56:00	Others	Utilities	Others	Nov-2024	Nov-2024	15.500000	11.933333	NaN	11:00–12:00
218	REDINGTON LIMITED	INE891D01026	20	2025-02-13	243.90	4878.00	2025-08-18	237.75	4755.00	-123.00	Delivery Trade	14:43:00	10:43:00	Others	Technology	Others	Feb-2025	Aug-2025	14.716667	10.716667	14:00–15:00	10:00–11:00
219	POWER FIN CORP LTD.	INE134E01011	25	2025-03-24	424.30	10607.50	2025-06-03	406.05	10151.25	-456.25	Delivery Trade	15:05:00	12:26:00	Others	Financial Services	Credit Services	Mar-2025	Jun-2025	15.083333	12.433333	15:00–15:30	12:00–13:00
220	MIRAEAMC - MAFSETF	INF769K01HI8	50	2025-03-24	25.75	1287.50	2025-08-18	27.64	1382.00	94.50	Delivery Trade	15:21:00	10:46:00	Others	Others	Others	Mar-2025	Aug-2025	15.350000	10.766667	15:00–15:30	10:00–11:00
221	BLACK BOX LIMITED	INE676A01027	25	2025-03-24	370.65	9266.25	2025-09-17	489.45	12236.25	2970.00	Delivery Trade	15:24:00	15:11:00	Others	Technology	Others	Mar-2025	Sep-2025	15.400000	15.183333	15:00–15:30	15:00–15:30
222	KPI GREEN ENERGY LIMITED	INE542W01025	10	2025-06-11	539.23	5392.30	2025-08-18	523.35	5233.50	-158.80	Delivery Trade	12:31:00	10:39:00	Others	Utilities	Others	Jun-2025	Aug-2025	12.516667	10.650000	12:00–13:00	10:00–11:00
223	BHARAT PETROLEUM CORP LT	INE029A01011	14	2025-06-11	333.45	4668.30	2025-08-18	315.10	4411.40	-256.90	Delivery Trade	12:33:00	10:44:00	Others	Energy	Oil & Gas Refining & Marketing	Jun-2025	Aug-2025	12.550000	10.733333	12:00–13:00	10:00–11:00

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script